| 高校学生恋爱影响因素的累积Logistic回归分析模型 |
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| 引用本文： | 孙小军,介科伟.高校学生恋爱影响因素的累积Logistic回归分析模型[J].计算技术与自动化,2016(4):99-101. |
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| 作者姓名： | 孙小军 介科伟 |
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| 作者单位： | （1.宝鸡文理学院 数学与信息科学学院，陕西 宝鸡721013；2. 西安科技大学 理学院，陕西 西安710054） |
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| 摘 要： | 高校学生恋爱对其自身学习与成长有很大的影响，为了帮助大学生树立积极向上的恋爱观。本文通过对我国10所高校500份“高校学生恋爱调查报告”所获数据的Pearson相关性分析，引入恋爱疏远度来表示恋爱双方的感情程度。在分析各单因素对恋爱疏远度影响的基础上，建立综合因素下高校学生恋爱影响因素的累积Logistic回归分析模型，并通过模型确定出影响高校学生恋爱的两个重要因素。
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| 关 键 词： | 影响因素 Pearson相关性分析 恋爱疏远度 累积Logistic回归模型 |
Cumulative Logistic Regression Analysis Model of Influencing Factors for Love in College Students |
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| SUN Xiao-jun,JIE Ke-wei.Cumulative Logistic Regression Analysis Model of Influencing Factors for Love in College Students[J].Computing Technology and Automation,2016(4):99-101. |
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| Authors: | SUN Xiao-jun JIE Ke-wei |
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| Abstract: | Love among college students has a great influence on their own learning and growth. In order to help them to have a positive attitude towards love, the distance of intimating was introduced to display the degree of affection between two lovers by the Pearson correlation analysis of 500 College Students Love Survey data from 10 universities . Based on the influencing analysis of single factor on the distance of intimating, a cumulative logistic regression analysis model of influencing factors for love in college students was built under the composite factor, and two important factors of influencing college students love were determined by the model. |
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| Keywords: | influencing factor Pearson correlation analysis distance of intimating cumulative logistic regression model |
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